{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T20:01:00Z","timestamp":1772913660535,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819777068","type":"print"},{"value":"9789819777075","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-7707-5_38","type":"book-chapter","created":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T15:04:02Z","timestamp":1726499042000},"page":"463-475","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["AGNE: Attentional Graph Convolutional Network Embedding for\u00a0Knowledge Concept Recommendation in\u00a0MOOCs"],"prefix":"10.1007","author":[{"given":"Jiahui","family":"Chen","sequence":"first","affiliation":[]},{"given":"Dan","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Xiangyun","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Liping","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Kong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,11]]},"reference":[{"issue":"1","key":"38_CR1","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1007\/s10639-022-11178-2","volume":"28","author":"Z Liang","year":"2023","unstructured":"Liang, Z., Mu, L., Chen, J., Xie, Q.: Graph path fusion and reinforcement reasoning for recommendation in MOOCs. Educ. Inf. Technol. 28(1), 525\u2013545 (2023)","journal-title":"Educ. Inf. Technol."},{"key":"38_CR2","doi-asserted-by":"crossref","unstructured":"Yu, J., et al.: MOOCCubeX: a large knowledge-centered repository for adaptive learning in MOOCs. In: CIKM 2021, pp. 4643\u20134652 (2021)","DOI":"10.1145\/3459637.3482010"},{"key":"38_CR3","doi-asserted-by":"publisher","first-page":"1074435","DOI":"10.3389\/feduc.2022.1074435","volume":"7","author":"R Wang","year":"2022","unstructured":"Wang, R., Cao, J., Xu, Y., Li, Y.: Learning engagement in massive open online courses: a systematic review. Front. Educ. 7, 1074435 (2022)","journal-title":"Front. Educ."},{"key":"38_CR4","doi-asserted-by":"publisher","first-page":"118344","DOI":"10.1016\/j.eswa.2022.118344","volume":"211","author":"H Zhang","year":"2023","unstructured":"Zhang, H., Shen, X., Yi, B., Wang, W., Feng, Y.: KGAN: knowledge grouping aggregation network for course recommendation in MOOCs. Expert Syst. Appl. 211, 118344 (2023)","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"38_CR5","doi-asserted-by":"publisher","first-page":"102938","DOI":"10.1016\/j.ipm.2022.102938","volume":"59","author":"X Wang","year":"2022","unstructured":"Wang, X., Ma, W., Guo, L., Jiang, H., Liu, F., Xu, C.: HGNN: hyperedge-based graph neural network for MOOC course recommendation. Inf. Process. Manage. 59(3), 102938 (2022)","journal-title":"Inf. Process. Manage."},{"key":"38_CR6","doi-asserted-by":"crossref","unstructured":"Gong, J., et al.: Attentional graph convolutional networks for knowledge concept recommendation in MOOCs in a heterogeneous view. In: SIGIR2020, pp. 79\u201388 (2020)","DOI":"10.1145\/3397271.3401057"},{"issue":"10","key":"38_CR7","doi-asserted-by":"publisher","first-page":"11951","DOI":"10.1007\/s10489-022-04025-x","volume":"53","author":"X Wang","year":"2023","unstructured":"Wang, X., Jia, L., Guo, L., Liu, F.: Multi-aspect heterogeneous information network for MOOC knowledge concept recommendation. Appl. Intell. 53(10), 11951\u201311965 (2023)","journal-title":"Appl. Intell."},{"key":"38_CR8","unstructured":"Piao, G.: Recommending knowledge concepts on MOOC platforms with meta-path-based representation learning. In: EDM 2021 (2021)"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Gong, J., et al.: Reinforced MOOCs concept recommendation in heterogeneous information networks. ACM Trans. Web 17(3) (2023)","DOI":"10.1145\/3580510"},{"issue":"3","key":"38_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3579991","volume":"14","author":"L Jiang","year":"2023","unstructured":"Jiang, L., et al.: Reinforced explainable knowledge concept recommendation in MOOCs. ACM Trans. Intell. Syst. Technol. 14(3), 1\u201320 (2023)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"38_CR11","doi-asserted-by":"crossref","unstructured":"Ye, B., Mao, S., Hao, P., Chen, W., Bai, C.: Community enhanced course concept recommendation in MOOCs with multiple entities. In: KSEM 2021, pp. 279\u2013293 (2021)","DOI":"10.1007\/978-3-030-82147-0_23"},{"key":"38_CR12","doi-asserted-by":"publisher","first-page":"100193","DOI":"10.1016\/j.caeai.2023.100193","volume":"6","author":"R Alatrash","year":"2024","unstructured":"Alatrash, R., Chatti, M.A., Ain, Q.U., et al.: ConceptGCN: knowledge concept recommendation in MOOCs based on knowledge graph convolutional networks and SBERT. Comput. Educ. Artif. Intell. 6, 100193 (2024)","journal-title":"Comput. Educ. Artif. Intell."},{"key":"38_CR13","doi-asserted-by":"crossref","unstructured":"Gu, H., Duan, Z., Xie, P., Zhou, D.: Modeling balanced explicit and implicit relations with contrastive learning for knowledge concept recommendation in MOOCs. In: Proceedings of the ACM on Web Conference 2024, pp. 3712-3722 (2024)","DOI":"10.1145\/3589334.3645559"},{"key":"38_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/978-981-99-6222-8_13","volume-title":"Web Information Systems and Applications","author":"C Yu","year":"2023","unstructured":"Yu, C., Fei, L., Chen, F., Chen, L., Wang, J.: Heterogeneous graphs embedding learning with metapath instance contexts. In: Yuan, L., Yang, S., Li, R., Kanoulas, E., Zhao, X. (eds.) WISA 2023. LNCS, vol. 14094, pp. 149\u2013161. Springer, Singapore (2023). https:\/\/doi.org\/10.1007\/978-981-99-6222-8_13"},{"key":"38_CR15","doi-asserted-by":"crossref","unstructured":"Dong, Y., Chawla, N.V., Swami, A.: MetaPath2Vec: scalable representation learning for heterogeneous networks. In: SIGKDD 2017, pp. 135\u2013144 (2017)","DOI":"10.1145\/3097983.3098036"},{"key":"38_CR16","doi-asserted-by":"crossref","unstructured":"Chen, H., Yin, H., Wang, W., Wang, H., Nguyen, Q.V.H., Li, X.: PME: projected metric embedding on heterogeneous networks for link prediction. In: SIGKDD 2018, pp. 1177\u20131186 (2018)","DOI":"10.1145\/3219819.3219986"},{"key":"38_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, C., Song, D., Huang, C., Swami, A., Chawla, N.V.: Heterogeneous graph neural network. In: SIGKDD 2019, pp. 793\u2013803 (2019)","DOI":"10.1145\/3292500.3330961"},{"key":"38_CR18","doi-asserted-by":"crossref","unstructured":"Xu, Y., Zhu, Y., Shen, Y., Yu, J.: Learning shared vertex representation in heterogeneous graphs with convolutional networks for recommendation. In: IJCAI 2019, pp. 4620\u20134626 (2019)","DOI":"10.24963\/ijcai.2019\/642"},{"issue":"3","key":"38_CR19","doi-asserted-by":"publisher","first-page":"1117","DOI":"10.1109\/TKDE.2020.2993870","volume":"34","author":"X Wang","year":"2022","unstructured":"Wang, X., Lu, Y., Shi, C., Wang, R., Cui, P., Mou, S.: Dynamic heterogeneous information network embedding with meta-path based proximity. IEEE Trans. Knowl. Data Eng. 34(3), 1117\u20131132 (2022)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"38_CR20","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., Schmidt-Thieme, L.: BPR: Bayesian personalized ranking from implicit feedback. In: UAI 2009 (2009)"},{"key":"38_CR21","doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.S.: Neural collaborative filtering. In: WWW 2017, pp. 173\u2013182 (2017)","DOI":"10.1145\/3038912.3052569"},{"key":"38_CR22","doi-asserted-by":"crossref","unstructured":"Rendle, S.: Factorization machines with libFM. ACM Trans. Intell. Syst. Technol., 1\u201322 (2012)","DOI":"10.1145\/2168752.2168771"},{"key":"38_CR23","doi-asserted-by":"crossref","unstructured":"Kabbur, S., Ning, X., Karypis, G.: FISM: factored item similarity models for top-n recommender systems. In: SIGKDD 2013 (2013)","DOI":"10.1145\/2487575.2487589"},{"key":"38_CR24","doi-asserted-by":"crossref","unstructured":"He, X., He, Z., Song, J., Liu, Z., Jiang, Y.G., Chua, T.S.: NAIS: neural attentive item similarity model for recommendation. IEEE Trans. Knowl. Data Eng. 2354\u20132366 (2018)","DOI":"10.1109\/TKDE.2018.2831682"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-7707-5_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T15:10:49Z","timestamp":1726499449000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-7707-5_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819777068","9789819777075"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-7707-5_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"11 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yinchuan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wisa22024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conf.ccf.org.cn\/web\/html7\/index.html?globalId=m1216704987858604032171012667439&type=1","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}